Answer
When working with Backpropagation, start with a clear goal, test on real data early, keep the approach as simple as possible at first, and follow established practices from the AI community rather than guessing.
Real-world example When a neural network mislabels a cat photo as a dog, backpropagation adjusts the internal weights so the next prediction is more likely to be correct.